Designing Decision Systems: How Data and AI Turn Decisions into Business Outcomes, (Paperback)

<p>Organizations today are rich in data but poor in decisions.</p><p>Despite advanced data platforms and AI models, many organizations struggle to translate data into real business impact. The missing link is not more data-it is better decision systems.</p><p>Designing Decision Systems presents a clear, systems-oriented approach to turning data into action. It shows how modern organizations convert observations of reality into better decisions through a continuous loop: </p><p>Reality &amp;#8594; Data &amp;#8594; Intelligence &amp;#8594; Decision &amp;#8594; Action &amp;#8594; Outcome &amp;#8594; Learning</p><p>By unifying data engineering, analytics, and AI into a single decision-centric framework, this book explains how to design systems that continuously improve decision quality over time.</p><p>Readers will learn how to design decision-driven data systems, translate predictions into actionable logic, embed intelligence into workflows, measure outcomes, and build feedback loops that enable continuous learning.</p><p>Written for data professionals, product owners, and business leaders, this book provides a practical foundation for building systems that drive measurable business outcomes-not just insights.</p>

• Designing Decision Systems: How Data and AI Turn Decisions into Business Outcomes, (Paperback)
• Author: Notion Press
• ISBN: 9798903925933
• Format: Paperback
• Publication Date: 2026-04-02
• Page Count: 154